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Decision Choice Optimization With Genetic Algorithm in Communication Networks
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Author(s): Driss Ait Omar (Information Processing and Decision Support Laboratory Sultan Moulay Slimane University, Morocco), Mohamed El Amrani (Information Processing and Decision Support Laboratory, Sultan Moulay Slimane University, Morocco), Hamid Garmani (Information Processing and Decision Support Laboratory Sultan Moulay Slimane University, Morocco), Mohamed Baslam (Information Processing and Decision Support Laboratory Sultan Moulay Slimane University, Morocco)and Mohamed Fakir (Information Processing and Decision Support Laboratory Sultan Moulay Slimane University, Morocco)
Copyright: 2021
Pages: 16
Source title:
Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-8048-6.ch017
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Abstract
Optimization is an essential tool in the field of decision support. In this chapter, the authors study an inverse problem applied in the telecommunication networks. Indeed, in the telecommunication networks, service providers have subscription offers to customers. Since competition is strong in this sector, most of these advertising offerings, totally or partially ambiguous, are prepared to attract the attention of consumers. For this reason, customers face problems in making decisions about the choice of the operators that gives them a better report price/QoS. Mathematical modeling of this decision support problem led to the resolution of an inverse problem. More precisely, the inverse problem is to find the function of the QoS real knowing the QoS theoretical or advertising. This model will help customers who seek to know the degree of sincerity of their operators, and it is an opportunity for operators who want to maintain their resources so that they gain the trust of customers.
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